Estimating demand for agricultural commodities in Thailand, combining time-series and cross-section data
通过结合时间序列和截面数据，估计泰国不同社会经济阶层对农产品的需求方程系统，解决了单一数据源无法同时考虑价格效应和收入差异的问题。
This paper deals with the estimation of a system of demand equations for agricultural commodities by combining time-series and cross-section data. The demand equations are specified at the level of socio-economic classes. The cross-section data available from a large-scale household expenditure survey have been made consistent with aggregate national accounts consumption data within the context of a social accounting matrix. Aggregate national accounts expenditure data do not allow the estimation of demand functions at the level of income groups or, more generally, socio-economic classes. Budget survey data on the other hand are used to estimate Engel curves for socio-economic classes, but do not make it possible to take price effects into account. Surprisingly few studies attempt to use both types of data within the context of estimating a complete system of demand functions.